Innovative Defense Technologies
AI Solutions Engineer
Innovative Defense Technologies, Mount Laurel, New Jersey, United States
Overview
Innovative Defense Technologies (IDT), provider of cutting-edge cloud-based integration, automated testing and data analysis for complex, mission-critical systems in the US Department of Defense (DOD), is seeking an AI Solutions Engineer to be based in our Fall River, MA, Arlington VA, or Mt. Laurel, NJ office. Leveraging advanced software automation, model-based systems engineering (MBSE), and AI-driven capabilities, IDT accelerates capability development, enhances operational readiness, and reduces lifecycle costs for the Department of Defense. The company is dedicated to transforming defense systems through innovation, efficiency, and mission-critical results.
At IDT, we are committed to delivering cutting-edge solutions that protect and empower our nation's security. As a leading provider of advanced technologies, we recognize that AI has the potential to transform the way we operate internally by enhancing productivity, decision-making, and innovation.
We are seeking a skilled and driven AI Solutions Engineer to identify, prototype, and guide the adoption of AI-enabled solutions within multiple internal organizations, including DevSecOps, Security (U.S. classified environments and corporate security), Program Management, Compliance, Software Development & Testing, and Systems Engineering.
Responsibilities
Identify opportunities to leverage AI/ML technologies across diverse internal organizations
Define and execute AI adoption initiatives with measurable business and operational impact
Research, evaluate, and prototype AI tools, frameworks, and platforms to address business needs
Collaborate with internal stakeholders to design, develop, and implement AI-based solutions
Integrate AI into existing workflows, ensuring usability, security, and compliance with internal and external requirements
Develop and maintain proof-of-concepts and production-ready solutions for internal use
Stay informed on AI trends, tools, and best practices; share knowledge and provide training as needed
Document AI solution architectures, processes, and lessons learned to support ongoing knowledge growth
Work closely with security and compliance teams to ensure AI solutions meet relevant policies and regulations, especially for classified and sensitive environments
Continuously evaluate and improve AI adoption strategies to align with evolving business goals and technology landscapes
Minimum Required Qualifications
3 years of professional experience in AI/ML engineering, data science, or a related technical role
B.S. in Computer Science, Data Science, Engineering, or a related field, or equivalent full-time practical experience
Required skills
Demonstrated knowledge of AI/ML concepts, algorithms, and practical applications
Proficiency in at least one programming language commonly used in AI development (e.g., Python, R, Java)
Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or similar
Familiarity with data preprocessing, feature engineering, and model evaluation techniques
Experience working with APIs, automation scripts, or custom tool integration to operationalize AI solutions
Understanding of security, compliance, and ethical considerations when implementing AI solutions—especially in sensitive or classified environments
Strong problem-solving skills with the ability to define requirements, scope projects, and deliver solutions independently
Experience collaborating with diverse business units to translate operational needs into technical AI solutions
Ability to communicate complex technical concepts clearly to technical and non-technical stakeholders
Familiarity with version control systems (e.g., Git) and collaborative development workflows
Ability to research, evaluate, and recommend emerging AI tools, frameworks, and practices
Preferred skills
Knowledge of cloud-based AI/ML tools and platforms (AWS SageMaker, Azure Machine Learning, or Google Vertex AI)
Hands-on experience deploying AI/ML solutions into production environments
Familiarity with MLOps practices, including model versioning, monitoring, and retraining pipelines
Experience integrating AI capabilities into business workflows and enterprise systems
Understanding of secure software development practices and AI-specific security risks
Knowledge of NIST, DISA STIGs, or other industry compliance frameworks relevant to AI deployments in regulated environments
Experience with containerization and orchestration tools (Docker, Podman, Kubernetes) for AI workloads
Proficiency with data visualization tools (Tableau, Power BI, Plotly, etc.) for communicating AI insights
Experience working with unstructured data types such as text, images, or audio
Familiarity with natural language processing (NLP) and generative AI tools
Exposure to cloud-based AI/ML services such as AWS SageMaker, Azure AI, or Google Vertex AI
Understanding of change management practices to support successful AI adoption across organizations
Prior experience in defense, government, or other mission-critical domains
Competencies
Ability to work independently, define priorities, and execute initiatives without constant oversight, while thriving in a team environment
Excellent communication skills and the ability to work effectively in a collaborative, fast-paced, and mission-driven environment
Strong critical thinking skills and the ability to evaluate new technologies for practical application
Willingness to adapt to new tools and stay up to date with AI/ML advancements
Pay range $90,000 - $150,000 or $114,000 - $184,000
*Pursuant to California Senate Bill 1162 and New Jersey Senate Bill 2310, IDT is required to disclose the pay scale or pay range associated with a job posting. The posted range may not reflect actual compensation and is dependent on experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. IDT is often looking to place multiple candidates at various levels; therefore, more than one pay range is included.
EEO Statement: IDT is an Equal Opportunity employer.
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At IDT, we are committed to delivering cutting-edge solutions that protect and empower our nation's security. As a leading provider of advanced technologies, we recognize that AI has the potential to transform the way we operate internally by enhancing productivity, decision-making, and innovation.
We are seeking a skilled and driven AI Solutions Engineer to identify, prototype, and guide the adoption of AI-enabled solutions within multiple internal organizations, including DevSecOps, Security (U.S. classified environments and corporate security), Program Management, Compliance, Software Development & Testing, and Systems Engineering.
Responsibilities
Identify opportunities to leverage AI/ML technologies across diverse internal organizations
Define and execute AI adoption initiatives with measurable business and operational impact
Research, evaluate, and prototype AI tools, frameworks, and platforms to address business needs
Collaborate with internal stakeholders to design, develop, and implement AI-based solutions
Integrate AI into existing workflows, ensuring usability, security, and compliance with internal and external requirements
Develop and maintain proof-of-concepts and production-ready solutions for internal use
Stay informed on AI trends, tools, and best practices; share knowledge and provide training as needed
Document AI solution architectures, processes, and lessons learned to support ongoing knowledge growth
Work closely with security and compliance teams to ensure AI solutions meet relevant policies and regulations, especially for classified and sensitive environments
Continuously evaluate and improve AI adoption strategies to align with evolving business goals and technology landscapes
Minimum Required Qualifications
3 years of professional experience in AI/ML engineering, data science, or a related technical role
B.S. in Computer Science, Data Science, Engineering, or a related field, or equivalent full-time practical experience
Required skills
Demonstrated knowledge of AI/ML concepts, algorithms, and practical applications
Proficiency in at least one programming language commonly used in AI development (e.g., Python, R, Java)
Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or similar
Familiarity with data preprocessing, feature engineering, and model evaluation techniques
Experience working with APIs, automation scripts, or custom tool integration to operationalize AI solutions
Understanding of security, compliance, and ethical considerations when implementing AI solutions—especially in sensitive or classified environments
Strong problem-solving skills with the ability to define requirements, scope projects, and deliver solutions independently
Experience collaborating with diverse business units to translate operational needs into technical AI solutions
Ability to communicate complex technical concepts clearly to technical and non-technical stakeholders
Familiarity with version control systems (e.g., Git) and collaborative development workflows
Ability to research, evaluate, and recommend emerging AI tools, frameworks, and practices
Preferred skills
Knowledge of cloud-based AI/ML tools and platforms (AWS SageMaker, Azure Machine Learning, or Google Vertex AI)
Hands-on experience deploying AI/ML solutions into production environments
Familiarity with MLOps practices, including model versioning, monitoring, and retraining pipelines
Experience integrating AI capabilities into business workflows and enterprise systems
Understanding of secure software development practices and AI-specific security risks
Knowledge of NIST, DISA STIGs, or other industry compliance frameworks relevant to AI deployments in regulated environments
Experience with containerization and orchestration tools (Docker, Podman, Kubernetes) for AI workloads
Proficiency with data visualization tools (Tableau, Power BI, Plotly, etc.) for communicating AI insights
Experience working with unstructured data types such as text, images, or audio
Familiarity with natural language processing (NLP) and generative AI tools
Exposure to cloud-based AI/ML services such as AWS SageMaker, Azure AI, or Google Vertex AI
Understanding of change management practices to support successful AI adoption across organizations
Prior experience in defense, government, or other mission-critical domains
Competencies
Ability to work independently, define priorities, and execute initiatives without constant oversight, while thriving in a team environment
Excellent communication skills and the ability to work effectively in a collaborative, fast-paced, and mission-driven environment
Strong critical thinking skills and the ability to evaluate new technologies for practical application
Willingness to adapt to new tools and stay up to date with AI/ML advancements
Pay range $90,000 - $150,000 or $114,000 - $184,000
*Pursuant to California Senate Bill 1162 and New Jersey Senate Bill 2310, IDT is required to disclose the pay scale or pay range associated with a job posting. The posted range may not reflect actual compensation and is dependent on experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. IDT is often looking to place multiple candidates at various levels; therefore, more than one pay range is included.
EEO Statement: IDT is an Equal Opportunity employer.
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